数据科学 MCP 服务器

Create validated, maintainable data charts and dashboards with Vizro tools and templates.

Convert almost any file or web content into Markdown.

Interact with Jupyter.

Data quality evaluation with Dingo: run rule-based and LLM-based evaluations and list its rules and prompts.

Autonomous data exploration of CSV datasets with generated insights.

Interact with and control Jupyter Notebooks.

Forecasting and prediction with Chronulus AI agents.

Orchestrate hyperparameter search and other optimization tasks with Optuna.

Link multiple data sources (SQL, CSV, Parquet and more) and analyze the data for insights and visualizations.

Connect to Kaggle to download and analyze datasets.

Create, manage and automate Label Studio projects, tasks and predictions for data labeling workflows.

Connect AI agents to interactive live R sessions.

Thin MCP server for GrowthBook — skill loader + authenticated API passthrough

Math engine combining SymPy, NumPy and Matplotlib for symbolic algebra, numerical computing and data visualization.

Graph analysis with NetworkX: centrality algorithms, community detection, PageRank and graph visualization.

Query local information about dependencies in a Ruby project's Gemfile.

Decision intelligence MCP — 17 tools (optimize, simulate, predict, score, graph). Sub-25ms.

Airtight math for AI agents: 3.68M-doc theorem search + numeric/Lean verification. No LLM, no key.

Code refactoring engine: code analysis, hotspot detection, complexity metrics, persistent memory and automated refactoring plans.

Mathematical computations: basic arithmetic, advanced functions, statistical analysis, unit conversions and financial calculations.

Judgment calls on small, cheap models: is this spam, which team, how urgent. YES, NO or UNSURE.

Find novel, statistically validated patterns in tabular data — hypothesis-free.

Glass-box statistical analysis for agents: 19 methods, cited findings, measured error rates.

Create, read, validate and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling.

Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace

LLM quantization: convert models to GGUF, GPTQ and AWQ, recommend quantization settings, evaluate quality and push to Hugging Face Hub.

Offline MCP server to explore CSV/JSON/Parquet/Excel: preview, query, diff, render interactive HTML

Physics-based anomaly detection with Klein-Gordon wave equations: scans, fingerprinting, token risk, wallet profiling and price…

Browse Kaggle competitions, leaderboards, models, datasets and kernels.

Profiles CSV/Parquet/Excel/JSON files: schema, stats, quality flags and dtype tips for LLM agents.

Data compression with gzip, Brotli, deflate and TurboQuant quantization, with automatic algorithm selection.

Exact symbolic math for LLMs: integrals, equations, matrices, and claim verification via Giac/Xcas

Crypto regime classifier for trading agents. 100% bounded regime accuracy. 50 free calls/day.

Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.

Numerical methods: root finding, numerical integration, differential equations (RK4) and Lagrange interpolation.

Compare approximate filter data structures: Bloom, Counting Bloom, Cuckoo and SuRF.

Offline unit conversion and dimensional analysis backed by the GNU units database, with compound expressions and reduction to SI base units.

Deterministic batch tools so LLM agents stop guessing dates and math.

Verified statistical inference for AI agents: hypothesis tests, sequential testing, power.

ML experiment contracts (cq.yaml plus JSON) to run, validate, compare and trace experiments in any framework, including PyTorch, Lightning…

Safe-by-default MCP for Laya: fast, local, typed decisions (classify/score/yes-no), 100+ langs.

Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.

Local deterministic calc MCP: exact math, dates, unit conversion, stats, subnet math.

Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.

Pay-per-call on-chain data for AI agents: token, wallet, risk, whale, NFT, tx. No API keys.

Probabilistic time-series forecasts from zero-shot foundation models: routed, single or ensembled.